v0.10.1 Jan 6, 2023

• Changes

  • Update create feedstock pull request workflow (#364)

  Thanks to the following people for contributing to this release: @gsheni

• Fixes
  • Update to avoid error with a categorical target with unused categories (#349)
• Changes
  • Transition to pure pyproject.toml for project metadata (#351)
  • Change target_dataframe_name parameter name to target_dataframe_index (#353)
  • Delete MANIFEST.in and .coveragerc from root directory (#359)
• Documentation Changes
  • Temporarily restrict scikit-learn version to <1.2.0 in dev requirements to allow docs to build (#361)
• Testing Changes
  • Add create feedstock PR workflow (#346)

Thanks to the following people for contributing to this release: @gsheni, @thehomebrewnerd

v0.9.1 Nov 2, 2022

• Changes
  • Explicitly set series dtype for LabelTimes.target_types (#337)
• Documentation Changes
  • Fix docs build and clean up release notes (#336)

Thanks to the following people for contributing to this release: @thehomebrewnerd

v0.9.0 May 12, 2022

• Changes
  • Update ipython to 7.31.1 (#286)
  • Transition to pyproject.toml and setup.cfg (#310, #313)
  • Add support for python 3.10 (#318)
  • Fix Makefile output filepath (#320)
• Documentation Changes
  • Update README.md with Alteryx link (#289, #290, #314)
  • Add in-line tabs and copy-paste functionality to docs (#293)
  • Update nbconvert to version 6.4.5 to fix docs build issue (#305)
  • Update slack invite link to new (#316)
  • Update release.md with correct process (#324)
• Testing Changes
  • Add woodwork to test-requirements.txt (#296)
  • Upgrade black version to 22.3.0 to fix linting issue (#309)

Thanks to the following people for contributing to this release: @gsheni, @mingdavidqi, @thehomebrewnerd

v0.8.0 January 20, 2022

• Enhancements
  • Add issue templates for bugs, feature requests and documentation improvements (#271)
• Changes
  • Update pip to 21.3.1 for test requirements (#265)
  • Restrict to Python 3.7 to 3.9 (#265)
  • Use black and remove autopep8 for linting (#265)
  • Update minimum dependency checker with the correct reviewers (#267)
  • Rename LabelMaker.target_entity to LabelMaker.target_dataframe_name (#276)
• Documentation Changes
  • Update install instructions to specify correct python versions (#265)
  • Update example notebooks to use latest Featuretools and EvalML APIs (#275)
• Testing Changes
  • Add unit test for dropping empty data slices (#280)
  • Add auto approve workflow for dependency updates (#281)

Thanks to the following people for contributing to this release: @gsheni, @jeff-hernandez, @thehomebrewnerd

v0.7.0 November 2, 2021

• Enhancements
  • Add maximum_data parameter to control when a search should stop (#216)
  • Add optional automatic update checker (#223, #229, #232)
  • Varying first cutoff time for each target group (#258)
• Documentation Changes
  • Update doc tutorials to the latest API changes (#227)
  • Pin documentation requirements to avoid warnings and breaking changes (#244)
• Testing Changes
  • Check if release notes were updated (#217)
  • Add minimum dependency checker to generate minimum requirement files (#218)
  • Add CI workflow for unit tests with minimum dependencies (#220)
  • Create separate workflows for each CI job (#220)
  • Pass token to authorize uploading of codecov reports (#226)
  • Update minimum unit tests to run on all pull requests (#230)
  • Add workflow to check latest dependencies (#233)
  • Update reviewers for minimum and latest dependency checkers (#257)

Thanks to the following people for contributing to this release: @gsheni, @jeff-hernandez

Development release for testing purposes

v0.6.0 February 11, 2021

• Enhancements
  • Added description for continuous target distributions (#187)
• Fixes
  • Sorted label distribution in description (#188)
• Documentation Changes
  • Made logo easier to read (#182)
  • Added Alteryx footer to docs (#185, #186)
  • Updated tutorials to the latest API changes (#190, #198, #204)
  • Updated repository links to GitHub (#191)
  • Added help page to docs (#194)
  • Improved docs based on tech writer feedback (#195)
  • Added open graph info to docs (#203)
• Testing Changes
  • Migrated CI tests to Github Actions (#184, #189)
  • Updated tests to trigger on pull request events (#199)

Thanks to the following people for contributing to this release: @flowersw, @jeff-hernandez, @rwedge

v0.5.1 September 22, 2020

• Documentation Changes
  • Update F1 Macro in Turbofan Degradation Tutorial (#180).
  • Apply Pandas Docs Theme (#172).
  • Add Chicago Bike Tutorial (#157).
• Testing Changes
  • Test Doc Builds (#165)

v0.5.0 August 28, 2020

• Enhancements
  • Added Column-Based Windows (#151).
• Changes
  • Refactored Data Slice Generator (#150).
• Documentation Changes
  • Updated README (#164).
  • Updated Predict Next Purchase Demo (#154).
  • Updated Predict Turbofan Degradation Demo (#154).

Breaking Changes

• Attributes of the data slice context have changed. Inside a labeling function, the timestamps of a data slice can be referenced by ds.context.slice_start and ds.context.slice_stop. For more details, see the Data Slice Generator Guide.